4,603 results found
    1. Neuroscience

    Neural learning rules for generating flexible predictions and computing the successor representation

    Ching Fang, Dmitriy Aronov ... Emily L Mackevicius
    A recurrent network using a simple, biologically plausible learning rule can learn the successor representation, suggesting that long-horizon predictions are computations that are easily accessible in neural circuits.
    1. Neuroscience

    Early language exposure affects neural mechanisms of semantic representations

    Xiaosha Wang, Bijun Wang, Yanchao Bi
    Impoverished access to natural human language during early childhood reduces semantic structure encoding in the left dorsal anterior temporal lobe, which provides positive evidence for the role of language in forming specific neural semantic representations in the human brain.
    1. Neuroscience

    Neural representation of newly instructed rule identities during early implementation trials

    Hannes Ruge, Theo AJ Schäfer ... Uta Wolfensteller
    Ventro-lateral prefrontal cortex codes novel rules starting from their first-time implementation right after instruction while early consolidation is channeled through increasing cooperation with the anterior striatum.
    1. Neuroscience

    Empathic pain evoked by sensory and emotional-communicative cues share common and process-specific neural representations

    Feng Zhou, Jialin Li ... Benjamin Becker
    Machine learning analyses reveal that the observation of acute pain inflictions and facial expressions of pain evoke shared pain-specific neural representations.
    1. Neuroscience

    Prediction error and repetition suppression have distinct effects on neural representations of visual information

    Matthew F Tang, Cooper A Smout ... Jason B Mattingley
    Multivariate analyses of human electrophysiological recordings revealed that the brain represents unexpected visual stimuli with greater fidelity than expected stimuli which arose independently of simple habituation arising from repetition.
    1. Neuroscience

    Robust and distributed neural representation of action values

    Eun Ju Shin, Yunsil Jang ... Min Whan Jung
    Action-value signals previously found in many brain areas can be accounted for neither by concurrent serial correlations in neural activity and action value nor by signals for other decision variables.
    1. Neuroscience

    Neural representations of naturalistic events are updated as our understanding of the past changes

    Asieh Zadbood, Samuel Nastase ... Uri Hasson
    Changes in the interpretation of specific scenes in a narrative trigger corresponding updates in the neural patterns evoked by those scenes in the default mode network.
    1. Neuroscience

    Distinct contributions of functional and deep neural network features to representational similarity of scenes in human brain and behavior

    Iris IA Groen, Michelle R Greene ... Chris I Baker
    Deep network features exhibit a robust correlation with brain activity in scene-selective cortex, but are not sufficient to explain human scene categorization behavior, which is strongly shaped by information about the function (possibility for action) of the scene.
    1. Neuroscience

    Neural representation of abstract task structure during generalization

    Avinash R Vaidya, Henry M Jones ... David Badre
    The human brain maintains a representation of latent task states within frontoparietal networks during the generalization of behaviors to novel settings.
    1. Neuroscience

    A neural mechanism for contextualizing fragmented inputs during naturalistic vision

    Daniel Kaiser, Jacopo Turini, Radoslaw M Cichy
    In scene-selective occipital cortex and within 200 ms of processing, visual inputs are sorted according to their typical spatial position within a scene.

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